Podcast | Artificial Intelligence | May 25, 2018

PODCAST: Imaging Smack Down at SIIM: AI Won’t Soon Replace Radiologists, With Eliot Siegel

It’s ridiculous to think that in the coming two decades, artificial intelligence will replace radiologists, says AI expert Eliot Siegel, M.D. Even if AI got good at reading medical images, “radiologists do much more than that,” he says in a podcast interview with Contributing Editor Greg Freiherr. Listen to the podcast. You can also view Freiherr's video with Siegel, VIDEO INTERVIEW: Imaging Smack Down at SIIM: AI Won't Soon Replace Radiologists, Says Expert, here.

In the accompanying video interview, Siegel, a radiology professor at the University of Maryland School of Medicine and chief of Imaging Services at the VA Maryland Health Care System, will highlight these and other reasons why it’s ridiculous to think computers will replace radiologists. He’ll discuss them during a SIIM debate on the subject June 2 that will include Bradley J. Erickson, M.D., associate research chair in the radiology department at Mayo Clinic in Rochester. 

AI might not replace radiologists, but it could radically change the practice of radiology in just a few years, he says. During a SIIM session June 1, Siegel will moderate discussions among executives from several companies, including GE Healthcare and newcomer Aidoc, who will look at radiology AI applications and roadmap how these and future applications will incorporate AI. 

One thing is for sure, says Siegel: AI is going to dramatically increase radiologists’ use of lab data, genomics and digital pathology. Several of these data types may become integral parts of reading oncologic images, according to Siegel, who will provide details at SIIM May 31 in “Point-of-Care Precision Medicine: Real-time Radiomics-Genomics in the Reading Room.”

Listen to additional SIIM podcasts and coverage:

PODCAST - Collaboration: The Key To Successful Enterprise Imaging

https://www.itnonline.com/channel/siim

VIDEO INTERVIEW: Building An Effective Enterprise Imaging Strategy

Related Content

Novel Technique May Significantly Reduce Breast Biopsies
News | Breast Biopsy Systems | January 17, 2019
A novel technique that uses mammography to determine the biological tissue composition of a tumor could help reduce...
Artificial Intelligence Used in Clinical Practice to Measure Breast Density
News | Artificial Intelligence | January 15, 2019
An artificial intelligence (AI) algorithm measures breast density at the level of an experienced mammographer,...
Sponsored Content | Videos | Artificial Intelligence | January 15, 2019
ITN Contributing Editor Greg Freiherr offers an overview of...
Machine Learning Uncovers New Insights Into Human Brain Through fMRI
News | Neuro Imaging | January 11, 2019
An interdisciplinary research team led by scientists from the National University of Singapore (NUS) has successfully...
Videos | Interventional Radiology | January 11, 2019
Julius Chapiro, M.D., research faculty member and an...
AI Approach Outperformed Human Experts in Identifying Cervical Precancer
News | Digital Pathology | January 10, 2019
January 10, 2019 — A research team led by investigators from the National Institutes of Health and Global Good has de
Artificial intelligence, also called deep learning and machine learning, was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting.

Artificial intelligence was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting, which included a large area with its own presentation therater set asside for AI vendors.

Feature | Artificial Intelligence | January 10, 2019 | Dave Fornell, Editor
Hands down, the hottest topic in radiology the past two years has been the implementation of...
Artificial Intelligence Pinpoints Nine Different Abnormalities in Head Scans

A brain scan (left) showing an intraparenchymal hemorrhage in left frontal region and a scan (right) of a subarachnoid hemorrhage in the left parietal region. Both conditions were accurately detected by the Qure.ai tool. Image courtesy of Nature Medicine.

News | Artificial Intelligence | January 07, 2019
The rise in the use of computed tomography (CT) scans in U.S. emergency rooms has been a well-documented trend1 in...
Mednax Radiology Solutions Launches Artificial Intelligence Incubator
News | Artificial Intelligence | December 28, 2018
Mednax Inc. and Mednax Radiology Solutions, one of the nation’s largest radiology practices, has launched the Mednax...